吞没 发表于 2025-3-30 08:23:57
Neural Networks for Adaptive Processing of Structured Datahe ability to recognize and classify these patterns is fundamental for several applications that use, generate or manipulate structures. In this paper I review some of the concepts underpinning Recursive Neural Networks, i.e. neural network models able to deal with data represented as directed acyclic graphs.鄙视读作 发表于 2025-3-30 12:57:11
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Architecture Selection in NLDA Networksork we study the architecture selection problem for NLDA networks. We shall derive asymptotic distribution results for NLDA weights, from which Wald like tests can be derived. We also discuss how to use them to make decisions on unit relevance based on the acceptance or rejection of a certain null hypothesis.积极词汇 发表于 2025-3-30 22:15:17
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Infoork, having rather a small number of hidden layer units, can approximate the Bayesian discriminant function for the two category classification if the log ratio of the a posteriori probability is a polynomial. The accuracy of approximation is measured by the Kullback-Leibler information. An extension to the multi-category case is also discussed.Axon895 发表于 2025-3-31 04:26:09
https://doi.org/10.1007/3-540-44668-0Artificial neural networks; Beowulf; Controller Area Network (CAN); Online; Segment; artificial intelligepoliosis 发表于 2025-3-31 07:38:28
978-3-540-42486-4Springer-Verlag Berlin Heidelberg 2001Condescending 发表于 2025-3-31 11:24:35
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